1.8k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Turing InstituteGB178 papers
- University of OxfordGB114 papers
- University of WarwickGB102 papers
- Queen Mary University of LondonGB91 papers
- University of CambridgeGB89 papers
- University College LondonGB81 papers
- Imperial College LondonGB60 papers
- University of EdinburghGB54 papers
- University of ManchesterGB30 papers
- University of ExeterGB25 papers
- University of SouthamptonGB20 papers
- Centre National de la Recherche ScientifiqueFR19 papers
6 papers · 2 filters
On denoising modulo 1 samples of a function
Mihai Cucuringu, Hemant Tyagi
Consider an unknown smooth function , and say we are given noisy samples of , i.e., for …
A signature-based machine learning model for bipolar disorder and borderline personality disorder
Imanol Perez Arribas, Kate Saunders, Guy Goodwin +1
Mobile technologies offer opportunities for higher resolution monitoring of health conditions. This opportunity seems of particular promise in psychiatry where diagnoses often rely…
Identifying networks with common organizational principles
Anatol E. Wegner, Luis Ospina-Forero, Robert E. Gaunt +2
Many complex systems can be represented as networks, and the problem of network comparison is becoming increasingly relevant. There are many techniques for network comparison, from…
Grammar Variational Autoencoder
Matt J. Kusner, Brooks Paige, José Miguel Hernández-Lobato
Deep generative models have been wildly successful at learning coherent latent representations for continuous data such as video and audio. However, generative modeling of discrete…
Counterfactual Fairness
Matt J. Kusner, Joshua R. Loftus, Chris Russell +1
Machine learning can impact people with legal or ethical consequences when it is used to automate decisions in areas such as insurance, lending, hiring, and predictive policing. In…
Generating Steganographic Images via Adversarial Training
Jamie Hayes, George Danezis
Adversarial training was recently shown to be competitive against supervised learning methods on computer vision tasks, however, studies have mainly been confined to generative tas…